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This book collects a selection of papers presented at ELECTRIMACS 2024. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, machine learning techniques, and identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy and energy storage systems, batteries, supercapacitors and fuel cells, and wireless power transfer, among others. Contributions included in Volume 1 are particularly focused on electrical engineering simulation aspects and innovative applications.
This volume presents cutting-edge research in electrical power engineering, focusing on simulation and innovative applications. The ELECTRIMACS 2024 conference papers cover a wide array of topics including modeling, simulation, control, power management, design optimization, machine learning, and identification/diagnostics. Key application areas explored are electric machines, power electronics, transportation systems, smart grids, electric and hybrid vehicles, renewable energy, energy storage, and wireless power transfer. Contributions in Volume 1 specifically highlight advancements in electrical engineering simulation techniques and their practical implementation in emerging technologies.
The collection of papers from ELECTRIMACS 2024 is expected to serve as a valuable resource for researchers and practitioners in electrical power engineering. The focus on simulation and innovative applications suggests a forward-looking perspective on the field's challenges and opportunities. The breadth of topics covered indicates a comprehensive overview of current research trends, from fundamental modeling to advanced applications in areas like smart grids and renewable energy. This volume likely appeals to specialists seeking detailed technical insights and updates on the latest advancements.
Page Count:
777
Publication Date:
2025-01-30
Publisher:
Springer Nature
ISBN-10:
3031739213
ISBN-13:
9783031739217
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